Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These pseudorandom numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing.
This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book c
Snapshot - Live at the Iron Horse
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